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Updated: Jan 29, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Immunogenicity Publication Bias and Its Consequences for Predictive Models: A Call for Transparent Reporting
Sophie Tascedda1, Zicheng Hu2, Hans Peter Grimm1
1Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, Basel, Switzerland.
Abstract:
Understanding immunogenicity is crucial to improving therapeutic protein development. By comparing Phase I to III antidrug antibody (ADA) incidence data of Roche-internal and approved monoclonal antibodies, we demonstrate a bias toward lower ADA incidence in published data, partly because ADA data from early trials-often discontinued for reasons related to high immunogenicity-are rarely published. Through an empirical model, we show how this bias affects ADA incidence time-course predictions, underscoring the need for cross-industry transparent data reporting.
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